Tunnel construction deformation monitoring system based on machine vision and monitoring method thereof

By combining machine vision with multi-dimensional data fusion analysis of displacement and strain parameters, the problems of real-time, comprehensiveness and accuracy in tunnel construction deformation monitoring are solved, and reliable monitoring and decision support for the safety status of tunnel structures are achieved.

CN120740486AActive Publication Date: 2025-10-03CHINA RAILWAY FIRST GRP MUNICIPAL ENVIRONMENTAL PROTECTION ENG CO LTD +2
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Patent Information

Application Number
CN202511257801.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-04
Publication Date
2025-10-03
Estimated Expiration
2045-09-04

AI Technical Summary

Technical Problem

Existing tunnel construction deformation monitoring methods have problems such as monitoring lag, large data errors, limited coverage, susceptibility to environmental interference and high cost, making it difficult to achieve real-time and comprehensive deformation monitoring.

Method used

A tunnel construction deformation monitoring method based on machine vision is adopted. Through real-time image acquisition combined with displacement and strain parameters, and multi-dimensional data fusion analysis, initial deformation prediction and actual deformation feature identification are carried out, and finally deformation trend analysis is performed to generate accurate monitoring results.

Benefits of technology

It has achieved improvements in the real-time, comprehensiveness and accuracy of tunnel deformation monitoring, reduced manual intervention, provided more reliable judgment of the tunnel structure safety status, and supported construction decision-making.

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Abstract

The invention relates to the technical field of tunnel construction monitoring, and discloses a tunnel construction deformation monitoring system based on machine vision and a monitoring method thereof. According to the method, real-time image acquisition is carried out on a tunnel construction structure to obtain a tunnel surface image sequence, and meanwhile, displacement parameters and strain parameters of the tunnel structure are monitored; performing initial deformation prediction according to the displacement parameter and the strain parameter to obtain a predicted deformation parameter; acquiring key area images in the tunnel by means of machine vision equipment, and inputting the key area images into a plurality of deformation feature recognizers respectively by combining the predicted deformation parameters to recognize and obtain actual deformation features; and finally, final deformation trend analysis is performed in combination with the predicted deformation parameters and the actual deformation characteristics, and a tunnel deformation monitoring result is obtained. According to the method, pertinence, comprehensiveness and accuracy of deformation monitoring are improved, the deformation state of the tunnel structure can be reflected more accurately, and an effective technical means is provided for safety monitoring of tunnel construction.
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